反对 发表于 2025-3-23 11:38:54

Johan M. Tuwankotta,Eric Harjanto,Livia Owener systems. PMUs, being cyber-physical devices, are susceptible to cyber-attacks, such as false data injection (FDI). As FDI can lead to incorrect state estimation and subsequent destructive impacts, the prompt detection of falsified data is crucial to preclude such adverse outcomes. In response to

POWER 发表于 2025-3-23 13:56:30

Johan M. Tuwankotta,Eric Harjanto,Livia Oweney solutions to reduce the operational cost of the future energy system. Therefore, the local and intelligent principles of microgrids in which users can directly exchange energy with other local users via peer-to-peer energy trading functionalities for flexible energy management are of paramount im

整顿 发表于 2025-3-23 18:24:07

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放逐 发表于 2025-3-23 23:43:27

Hyperbolicity and Structural Stability,ct fundamental human rights following the opportunities and addressing challenges, even threats, presented by AI applications in everyday life. It aims to set future-proof and innovation-friendly standards, draft legal frameworks, develop new global norms, and harmonize landmark rules to ensure AI c

maladorit 发表于 2025-3-24 04:30:37

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Keshan-disease 发表于 2025-3-24 07:19:38

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Urea508 发表于 2025-3-24 14:24:00

https://doi.org/10.1007/978-3-031-56776-6artificial intelligence; blockchain; energy trading; demand response; cyber security; forecasting; deep le

金丝雀 发表于 2025-3-24 16:51:50

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新奇 发表于 2025-3-24 20:52:58

Providing Evidence for the Validity of the Virtual Verification of Automated Driving Systemstesting methods, become infeasible. Virtual testing seems like a promising alternative to traditional methods, especially as part of a scenario-based verification and validation methodology. But in order to transfer the test results of a system from a simulation to the real world, we need to argue t

cogitate 发表于 2025-3-25 00:51:43

What Level of Power Should We Give an Automation?e human-machine interface. This is particularly important in safety-critical applications, where the multi-faceted interaction between the automated system and humans must be carefully analyzed to identify potential risks to the overall safety. This paper presents our vision of an approach determini
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